While an enterprise DWH for healthcare can store highly structured data, semi-structured and unstructured data (manual patient records, image-based test reports, practitioner’s notes, etc.) can be stored more affordably in a data lake.
The data that is stored in the data lake is used to create the machine learning models, such as forecasting healthcare demand.